Platform Architect – AI Infrastructure

Join us as the technical architect of Dock42, our platform for deploying and managing large-scale autonomous AI across global enterprises. You’ll define the core infrastructure that enables next-gen AI to thrive—scalable, secure, and reliable.

Design and deliver the architecture that makes autonomous enterprise AI not just possible, but powerful at scale.

Responsibilities

• Lead the end-to-end design of AI infrastructure systems that support distributed, real-time autonomous agents in enterprise environments.
• Define architectural standards for compute, storage, security, and observability, ensuring seamless operation under high-load conditions.
• Collaborate with ML, product, and DevSecOps teams to enable scalable deployment, testing, and lifecycle management of AI models.
• Make critical decisions on infrastructure tooling, orchestration (Kubernetes, Terraform, etc.), and cloud architecture across regions.
• Shape the technical roadmap and act as a thought leader on infrastructure innovation.

Requirements

• Proven experience in platform or infrastructure architecture for large-scale distributed systems, ideally with ML/AI components.
• Deep understanding of cloud-native architecture (Kubernetes, Docker, CI/CD, IaC), API design, data pipelines, and system security.
• Comfortable working across AI model lifecycle—from research to productionization and observability.

What we offer

• A significant role with the potential to shape the future of fintech and digital innovation
• The opportunity to work remotely, with flexible working hours and home office options
• Potential for relocation to our global offices
• Access to our mentoring program and the resources of the leading venture builder in the world

Hiring Process

1. Screening phone call with the recruiter
2. Interview with the hiring manager
3. Bootcamp: Showcase your skills with a real-life business challenge and meet the team

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